• Colorado EnviroScreen
• Questions
• Why was it created
• How was it created
• Role of the geospatial analyst

• English
• Spanish

• Trends in Environmental Justice

# read in data 
d1 <- read.csv("multiTimeline.csv",skip = 2)
names(d1) <- c("week","ej")

# generate linear model 
n = 1:length(d1$ej)
m1 = lm(d1$ej~n)
# plot data 
p1 <- plot_ly(data = d1, x =~week, y =~ej, 
              type = 'scatter', 
              mode = 'lines+markers',
              name= "ej")%>%
  add_lines(data = d1, x = ~week, y =predict(m1),  
            type = 'line', 
            name="Linear Model")

• Environmental Justice Act
• “Disproportionalily Impacted Community”
• Set requirements

• Colorado Department of Public Health and Environment employees
• Research Funding Proposal

• Institude for the Built Environment, Rojos Lab, Geospatial Centroid
• 12 day turn around on RFP, 200,000 budget, and three primary components.

• Public Engagement
• Metric Generation
• Visualization of results

• listen
• answer question
• provide questions to gather specific feedback

• Evaluate and process data
• related assumption
• justify methodology as team